Fused Adaptive Receptive Field Mechanism and Dynamic Multiscale Dilated Convolution for Side-Scan Sonar Image Segmentation-Reference-Cited by-同舟云学术

Fused Adaptive Receptive Field Mechanism and Dynamic Multiscale Dilated Convolution for Side-Scan Sonar Image Segmentation

Author:

Wang Zhen¹^ORCID,Zhang Shanwen¹^ORCID,Gross Lutz²,Zhang Chuanlei³,Wang Buhong⁴

Affiliation:

1. School of Information Engineering, Xijing University, Xi’an, China

2. School of Earth and Environmental Sciences, The University of Queensland, Brisbane, St Lucia, QLD, Australia

3. College of Artificial Intelligence, Tianjin University of Science and Technology, Tianjin, China

4. School of Information and Navigation, Air Force Engineering University, Xian, China

Funder

Neural Science Foundation of Shanxi Province

Jiangsu Innovation and Entrepreneurship Program

Shaanxi Key Laboratory of Integrated and Intelligent Navigation open fund

Shaanxi Province Key Research and Development Program

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Earth and Planetary Sciences,Electrical and Electronic Engineering

Link

Reference50 articles.

4. Rethinking atrous convolution for semantic image segmentation;chen;arXiv 1706 05587,2017

5. U-Net: Convolutional networks for biomedical image segmentation;ronneberger;Proc Int Conf Med Image Comput Comput -Assist Intervent (MICCAI),2015

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